Well, they're baack in the City!Coming this Thursday April 4, 2013 to the Big Apple, hosted by the NYC
Metro SQL Server User Group
-a spectacular special sql treat that
is sure to be a real tripp. (No, I did not misspell tripP :)In fact, if you are lucky enough to attend
this excellent event, you’ll probably be In
Recovery for a
while.

OK, so if you haven’t figured out my
corny word play, NYC is happy to bring youthe dynamic duo of SQLSkills, the Dean of DBCC, and his even more
awesome partner and wife (I’m sure he’ll agree on this), Kimberly Tripp will
grace the skyline with their not to be missed user group presentation, Making SQL Server Faster: Four of the Most
Misunderstood Topics.

If there’s anybody that anybody who
knows how to make your SQL Server run faster, it’s definitely Kimberly an
Paul!These are the masters of the SQL
Universe, and we are proud to have a special
presentation from Paul Randal and Kimberly
Tripp this coming April 4, 2013 at 6:30 PM at the Microsoft Offices on the 6th Floor at 1290 6th
Avenue.

Now, it’s pretty short notice, so
hurry to register for this fantabulous event ASAP!Seating is limited so if you are or plan to
be in the area, REGISTER
NOW!

Here are the meeting details, that you
will find at the event page:

Making SQL Server Faster:
Four of the Most Misunderstood Topics

SQL Server doesn’t have a
/FASTER switch, but there are a lot of areas where understanding what’s
happening and taking corrective action can help SQL Server process your
workload faster, without requiring better hardware. In this session, SQL Server
experts Paul and Kimberly from SQLskills.com will discuss four of the most
misunderstood areas of SQL Server. Paul will explain wait statistics and
exactly how to deal with CXPACKET waits, plus the lesser known effects of index
fragmentation and why you always need to care, even when using Solid State
Disks. Kimberly will show you multiple interesting reasons why SQL Server won’t
use your indexes and how to fix these problems using better indexing strategies
and filtered statistics. Come along and learn a new trick or two (or four!).